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Quality Improvements for Multi-Modal Neuroimaging

Quality Improvements for Multi-Modal Neuroimaging. Mika Seppä Brain Research Unit / LTL AMI-Centre Helsinki University of Technology. 3 central stages:. 1. Registration. 2. Resampling. 3. Visualization. 1. Registration. Match metric Single-modal registration sum of squared differences

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Quality Improvements for Multi-Modal Neuroimaging

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  1. Quality Improvementsfor Multi-Modal Neuroimaging Mika Seppä Brain Research Unit / LTL AMI-Centre Helsinki University of Technology

  2. 3 central stages: 1. Registration 2. Resampling 3. Visualization

  3. 1. Registration • Match metric • Single-modal registration • sum of squared differences • Multi-modal registration • mutual information

  4. MI artifacts • Images aligned • Same pixel/voxel sizes • Registration bias • Local maxima • Continuous sampling • higher-order method MI offset (pixels)

  5. 2. Resampling • Very common operation • geom. correction, motion correction, group average etc. ... 15 x SNR = 10*log10(s2/e2)

  6. Two-stage resampling SNR (dB) Time (ms)

  7. 3. Visualization 800 fps 0.1-5 fps 120 fps

  8. Seppä (2007). On continuous sampling and sub-sample accuracy in mutual-information registration. TKK Report, TKK-KYL-017. Seppä (2007). High-quality two-stage resampling for 3-D volumes in medical imaging. Medical Image Analysis, 11:346-360. Seppä, Hämäläinen (2005). Visualizing human brain surface from T1-weighted MR images using texture-mapped triangle meshes. NeuroImage, 26:1-12. Hiltunen, Suortti, Arvela, Seppä, Joensuu, Hari (2005). Diffusion tensor imaging and tractography of distal peripheral nerves at 3 T. Clinical Neurophysiology, 116:2315-2323.

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